BigQuery
BigQuery MCP Server provides a secure interface for LLMs to interact with Google BigQuery databases, enabling data exploration and SQL query execution. Built with TypeScript and the Bun runtime, it offers tools for executing read-only queries, listing tables, retrieving schema information, and estimating query costs. The implementation includes safeguards like query validation, configurable processing limits, and partition filter recommendations to prevent excessive costs. It supports both Application Default Credentials and service account authentication, making it ideal for data analysts and developers who need to give AI assistants access to structured data in BigQuery without compromising security.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/takuya0206/bigquery-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve BigQuery from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.